A novel recognition method was put forward to identify the producing areas of the flue-cured tobacco leaves rapidly and non-destructively by using a near-infrared (NIR) spectrometer and a multi-layer-extreme learning machine (ML-ELM) algorithm. In contrast to traditional linear discriminant analysis (LDA) and extreme learning machine (ELM) algorithms, the accuracy, sensitivity and specificity were the highest for the proposed ML-ELM algorithm. The ML-ELM models for different producing areas of Yunnan tobacco leaves had the best generalization ability and prediction results. Besides, the above three algorithms were also identified by using the chemical index data. The experimental results indicated that the NIR spectroscopy technology together with ML-ELM algorithm achieved the best prediction performance both using the NIR spectral data and chemical index data. It indicates that the combination of NIR and ML-ELM can recognize different producing areas of Yunnan tobacco leaves rapidly, accurately, and non-destructively.

Resumo Introdução: A fenda labial não sindrômica, com ou sem fenda palatina, é um defeito congênito comum em todo o mundo, devido a uma combinação de fatores ambientais e genéticos. O genome-wide association studies relatou que o polimorfismo rs7078160 do Vax1 está intimamente relacionado à fenda labial não sindrômica, com ou sem fenda palatina em populações europeias. Estudos subsequentes mostraram os mesmos resultados nas populações mongol, japonesa, filipina e vietnamita etc. No entanto, pesquisas conflitantes foram relatadas na população chinesa. Objetivo: Investigar a associação entre o polimorfismo rs7078160 e fenda labial não sindrômica, com ou sem fenda palatina, em pacientes do sul da China. Método: Tentamos investigar a distribuição do polimorfismo rs7078160 em 100 trios completos de pacientes (39 pacientes com fenda labial e palatina não sindrômica; 36 pacientes com fenda labial somente, não sindrômica; 25 com fenda palatina somente, não sindrômica e seus pais), da etnia Han do sul da China, e em 60 trios saudáveis selecionados como controle. Reação de polimerase em cadeia e o sequenciamento de Sanger foram uszados para genotipar o polimorfismo rs7078160 do Vax1 e tanto os casos-controle quanto as associações baseadas na família foram analisadas. Resultados: As análises de caso-controle revelaram que o polimorfismo rs7078160 estava significativamente associado a fenda labial não sindrômica, com ou sem fenda palatina (p = 0,04) e fenda labial e palatina não sindrômica (p = 0,01), mas não estava associado a pacientes com fenda labial somente não sindrômica e fenda palatina somente não sindrômica. A composição do genótipo de rs7078160 compreende AA homozigoto mutado, AG heterozigoto e GG homozigoto selvagem. Casos com genótipos AG + AA comparados com GG homozigotos mostraram um risco aumentado de fenda labial não sindrômica, com ou sem fenda palatina (p = 0,04, OR = 2,05, IC de 95%: 1,01 ± 4,16) e fenda labial e palatina não sindrômica (p = 0,01, OR = 3,94, IC 95%: 1,34-11,54). Além disso, não detectamos desequilíbrio de transmissão em rs7078160 (p = 0,68). Conclusão: Este estudo sugere que o polimorfismo rs7078160 foi um fator de risco para fenda labial não sindrômica, com ou sem fenda palatina, e o gene Vax1 está fortemente associado com fenda labial não sindrômica, com ou sem fenda palatina em populações da etnia Han do sul da China.

Abstract Introduction: Non-syndromic cleft lip with or without cleft palate is a common worldwide birth defect due to a combination of environmental and genetic factors. Genome-wide association studies reported the rs7078160 of Vax1 is closely related to non-syndromic cleft lip with or without cleft palate in European populations. The following studies showed the same results in Mongolian, Japanese, Filipino, Vietnamese populations etc. However, conflicting research had been reported in Chinese population, Objective: The aim of this study was to investigate the association between the rs7078160 polymorphism and non-syndromic cleft lip with or without cleft palate in Southern Chinese patients. Methods: In this study, we investigated the polymorphism distribution of rs7078160 in 100 complete patient trios (39 patients with non-syndromic cleft lip and palate; 36 patients with non-syndromic cleft lip only; 25 had non-syndromic cleft palate only; and their parents) from Southern ethnic Han Chinese. 60 healthy trios were selected as control. Polymerase chain reaction and Sanger sequencing were used to genotype rs7078160 in Vax1; both case-control and family-based associations were analyzed. Results: The case-control analyses revealed the rs7078160 polymorphism was significant, associated with non-syndromic cleft lip with or without cleft palate (p = 0.04) and non-syndromic cleft lip and palate (p = 0.01), but not associated with non-syndromic cleft lip only and nonsyndromic cleft palate only patients. The genotype composition of rs7078160 comprises mutated homozygous AA, heterozygous AG and wild homozygous GG. Cases with AG + AA genotypes compared with GG homozygotes showed an increased risk of non-syndromic cleft lip with or without cleft palate (p = 0.04, OR = 2.05, 95% CI: 1.01-4.16) and non-syndromic cleft lip and palate (p = 0.01, OR = 3.94, 95% CI: 1.34-11.54). In addition, we did not detect any transmissiondisequilibrium in rs7078160 (p = 0.68). Conclusion: This study suggests that rs7078160 polymorphism is a risk factor of non-syndromic cleft lip with or without cleft palate, and Vax1 is strongly associated with non-syndromic cleft lip with or without cleft palate in Southern Chinese Han populations.

Recently, Yu and Guan proposed a modified PRP method (called DPRP method) which can generate sufficient descent directions for the objective function. They established the global convergence of the DPRP method based on the assumption that stepsize is bounded away from zero. In this paper, without the requirement of the positive lower bound of the stepsize, we prove that the DPRP method is globally convergent with a modified strong Wolfe line search. Moreover, we establish the global convergence of the DPRP method with a Armijo-type line search. The numerical results show that the proposed algorithms are efficient. Mathematical subject classification: Primary: 90C30; Secondary: 65K05.